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General Information
Editor-in-chief

Prof. Pascal Lorenz
University of Haute Alsace, France
 
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.

IJFCC 2015 Vol.4(2): 136-142 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2015.V4.372

A Greedy-Based Video Bitrate Selection Algorithm with Consideration of QoE Fairness for Adaptive Streaming over Software Defined Network

Kuei-Hong Lin and Kuo-Huang Chung

Abstract—The video streaming may be the most important service of the internet nowadays, and it changes the viewing habits of the millions of people. The novel streaming technique – adaptive streaming helps the people to watch the videos smoother, that is, the video quality or bitrate would be changed with the bandwidth adaptively. However, the design of the traditional adaptive streaming does not take the entire internet into account, that is, each device may grab the bandwidth as much as possible, and the allocation of the bandwidth may not fairness which causes the unfairness of the quality of experience (QoE). In this study, the software defined network (SDN) is applied to be the centralized control for allocating the bandwidth. Besides, a greedy-based video bitrate selection algorithm is proposed for achieving the QoE fairness. By comparing the results to the brute-force method, the proposed method can achieve the QoE fairness as the optimum solution of the brute-force method.

Index Terms—Adaptive streaming, QoE fairness, SDN, greedy-based, video bitrate selection.

The authors are with the Information and Communications Research Laboratories of Industrial Technology Research Institute of Taiwan, Taiwan R.O.C (e-mail: kueihong990316@itri.org.tw, khchung@itri.org.tw).

[PDF]

Cite: Kuei-Hong Lin and Kuo-Huang Chung, "A Greedy-Based Video Bitrate Selection Algorithm with Consideration of QoE Fairness for Adaptive Streaming over Software Defined Network," International Journal of Future Computer and Communication vol. 4, no. 2, pp. 136-142, 2015.

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